融合大数据技术和工艺经验的高炉参数优化

 为了更精准地评判高炉运行情况,量化高炉指导方针。根据高炉生产过程的特点,应用大数据技术对高炉生产参数与铁水产量和高炉能耗等指标进行数据驱动分析,提出了一种优化高炉生产参数的新方法。首先,对某钢铁厂高炉各工序历史数据进行了采集、清洗、过滤和整合,建立了高炉数据仓库。然后,将多种聚类算法相结合,完成了对高炉炉况变化的详细划分。运用工艺经验与递归特征消除算法相结合,全面筛选得到能够反映炉况波动的强相关变量。应用统计学方法分析得出Class_a炉况对应的核心参数的最优范围,这对指导现场生产、保持高炉长期稳定顺行具有重要意义。     

刨花板工艺技术与其进步——刨花分选

从刨花板生产的刨花筛选与风选相关技术、工艺设计及生产过程工艺控制等方面,阐述了适应刨花分选工艺技术的相关影响因素与技术改进方案.     

锌铜合金灰选择性浸出分离回收铜试验研究

锌铜合金灰中含有Cu、Zn、Al、Ni、Sn、Pb等多种有色金属,本文通过筛分实现不同粒径范围锌铜灰的有效处理,考察了硫酸含量、温度、时间、液固比、转速、氧化剂和焙烧对不同金属选择性浸出的影响。研究结果表明,粒径小于0.15 mm的锌铜灰在750℃下焙烧3小时,再在浸出温度85℃,硫酸含量1.2 g/g灰,液固体积质量比5/1,搅拌速度400 rpm,H2O2 0.075 mL/g灰的条件下浸出5 h,锌去除率达到93.40%,铜去除率为0.23%,与初始铜灰相比,焙烧浸出后的铜灰中的ZnO大量减少;将浸出渣与0.15-0.25 mm粒径范围的铜渣混合,在750℃下焙烧4小时,再在相同条件下,用2 mol/L的硫酸溶液酸洗5小时和水洗的步骤能够去除铜渣中大量的杂质金属元素,酸洗后的铜渣物相组成主要为Cu,Cu元素的比例达到92.52%。     

基于吸光材料的激光解吸附离子化质谱用于纺织品快速筛查

建立了基于微纳吸光材料的激光解吸附离子化质谱法快速检测纺织品中有害物质邻苯二甲酸酯、乙醇胺和己内酰胺.以不锈钢板为基底,利用激光加工技术获得微纳吸光材料,可将紫外激光能量高效转化为热能,实现材料表面待测物的解吸附和离子化,并进行质谱分析.为考察方法的定量能力,采用内标法定量分析邻苯二甲酸二丙酯、邻苯二甲酸二乙酯,结果表...     

First Trimester Prediction of Preterm Delivery in the Absence of Other Pregnancy-Related Complications Using Cardiovascular-Disease Associated MicroRNA Biomarkers

The aim of the study was to determine if aberrant expression profile of cardiovascular disease associated microRNAs would be able to predict within 10 to 13 weeks of gestation preterm delivery such as spontaneous preterm birth (PTB) or preterm prelabor rupture of membranes (PPROM) in the absence of other pregnancy-related complications (gestational hypertension, preeclampsia, fetal growth restriction, or small for gestational age). In addition, we assessed if aberrant expression profile of cardiovascular disease associated microRNAs would be able to predict preterm delivery before and after 34 weeks of gestation. The retrospective study was performed within the period November 2012 to March 2020. Whole peripheral blood samples were collected from 6440 Caucasian individuals involving 41 PTB and 65 PPROM singleton pregnancies. A control group, 80 singleton term pregnancies, was selected on the base of equal sample storage time. Gene expression of 29 selected cardiovascular disease associated microRNAs was studied using real-time RT-PCR. Downregulation of miR-16-5p, miR-20b-5p, miR-21-5p, miR-24-3p, miR-26a-5p, miR-92a-3p, miR-126-3p, miR-133a-3p, miR-145-5p, miR-146a-5p, miR-155-5p, miR-210-3p, miR-221-3p and miR-342-3p was observed in pregnancies with preterm delivery before 37 (≤36 + 6/7) weeks of gestation. Majority of downregulated microRNAs (miR-16-5p, miR-24-3p, miR-26a-5p, miR-92a-3p, miR-133a-3p, miR-145-5p, miR-146a-5p, miR-155-5p, miR-210-3p, and miR-342-3p) was associated with preterm delivery occurring before 37 (≤36 + 6/7) weeks of gestation. The only miR-210-3p was downregulated in pregnancies with preterm delivery before 34 (≤33 + 6/7) weeks of gestation. The type of preterm delivery also had impact on microRNA gene expression profile. Downregulation of miR-24-3p, miR-92a-3p, miR-155-5p, and miR-210-3p was a common feature of PTB and PPROM pregnancies. Downregulation of miR-16-5p, miR-20b-5p, miR-26a-5p, miR-126-3p, miR-133a-3p, miR-146a-5p, miR-221-3p, and miR-342-3p appeared just in PTB pregnancies. No microRNA was uniquely dysregulated in PPROM pregnancies. The combination of 12 microRNAs (miR-16-5p, miR-20b-5p, miR-21-5p, miR-24-3p, miR-26a-5p, miR-92a-3p, miR-133a-3p, miR-145-5p, miR-146a-5p, miR-155-5p, miR-210-3p, and miR-342-3p, AUC 0.818, p < 0.001, 74.53% sensitivity, 75.00% specificity, cut off > 0.634) equally as the combination of 6 microRNAs (miR-16-5p, miR-21-5p, miR-24-3p, miR-133a-3p, miR-155-5p, and miR-210-3p, AUC 0.812, p < 0.001, 70.75% sensitivity, 78.75% specificity, cut off > 0.652) can predict preterm delivery before 37 weeks of gestation in early stages of gestation in 52.83% pregnancies at 10.0% FPR. Cardiovascular disease associated microRNAs represent promising biomarkers with very good diagnostical potential to be implemented into the current routine first trimester screening programme to predict preterm delivery.     

C.pasteurianum高产1,3-丙二醇菌株的选育及发酵培养基的研究(Ⅰ)

以淡水湖泊泥土中分离出的 13株梭菌 (Clostridium)为出发菌株 ,利用常规筛选方法选出 2株 1,3 丙二醇产生菌 (Clostridiumpasteurianum)。经UV、DES、NTG、EMS、LiCl单独及复合诱变 ,选育出一株 (CpN 38) 1,3 PD高产突变株。该突变株较出发菌株 ( 98- 77,98- 10 8) 1,3 PD产量提高了 7倍 ,产量为 31.0 0g/L。通过单因素实验 ,确定了CpN 38发酵培养基为 :甘油 ,90g/L ;NH4Cl,1.70g/L ;Fe2 +,0 .0 0 5 % ;Co2 +,0 .0 0 4 %。     

油污土壤中脂肪酶产生菌的筛选

为了获得脂肪酶产生菌的菌种,进而获得高酶活菌株.通过添加橄榄油作为唯一碳源进行富集培养,然后以透明圈平板筛选法从富油土样中筛选出能够在溴甲酚紫培养基上形成黄色透明圈的菌落,再在罗丹明B的培养基上得到高活菌种以及水解圈大小,摇瓶复筛得高活菌株,进而测定酶的活力,经筛选有10株脂肪酶产生菌酶活力较高.     

红树林土壤纤维素酶产生菌筛选及产酶条件研究

采用CMC唯一碳源平板法和内切葡聚糖酶、外切葡聚糖酶和β-葡萄糖苷酶等3种酶平板鉴别法从海南红树林土壤中分离到109个有阳性信号的菌株,经发酵产酶复筛选出一株产纤维素酶活相对较高的真菌HBZ003。经鉴定该菌为产紫青霉(Penicillium purpurogenum)。通过发酵产酶条件优化,获得最佳培养基组成为:麸皮8 g/L,CMC 2 g/L,(NH4)2SO43 g/L,KNO32 g/L,KH2PO43 g/L,NaCl 6 g/L,CaCl20.5 g/L;发酵条件为250mL三角瓶中装培养液100mL,在pH4.0、30℃,160 r/min条件下振荡培养5 d,测得发酵液中CMCase和FPA分别为16.04U和4.08 U。     

化学性食物中毒因子检测技术研究进展

化学性食物中毒因子的确证因其毒物的不确定性和基质的复杂性一直是卫生检验领域的一个难题。本文从目标毒物分析(亚硝酸盐、农药、杀鼠剂、麻醉品及精神药品、生物毒素以及其它药物等)和非目标毒物筛查(样本前处理技术和仪器筛查技术)两个方面综述了当前化学性毒物检测技术的的主要研究进展, 介绍了相关方法的原理、应用、不足及发展方向, 以期为化学性食物中毒事件处置及未来研究提供借鉴。     

中国酿酒酵母菌的研究--不同酒类酵母筛选与应用纪实(下)

总结了我国50多年来对不同酒类酵母筛选也应用的研究成果，并通过大量翔实的数据详尽地阐释了酒类酵母不同的特性与作用，推出优良菌种，以达到优质高产、节约粮食之目的。酒类酵母分为酒精酵母、生香酵母、威士忌酵母。酒精酵母又分为小曲酒酵母、大曲酒酵母、小麦酒精酵母、甘蔗酒精酵母。四川小曲酒酵母以纳溪109号酵母较优良，黄酒126号酵母次之；大曲酒酵母以1308号较优，AS2．399次之；小麦酒精酵母以1308号酒精酵母较优；甘蔗酒精酵母则以川102号较优。（陶然）